1 code implementation • 16 Apr 2024 • Ruibo Yang, Jiazhou Wang, Andrew Mullhaupt
In this paper, we study the stochastic multi-armed bandit problem, where the reward is driven by an unknown random variable.
no code implementations • 2 Jun 2022 • Jiazhou Wang, Jue Tian, Yang Liu, Xiaohong Guan, Dong Yang, Ting Liu
We prove that a designed MMTD can significantly improve the detection capability compared to existing one-stage MTDs.
no code implementations • 26 Jan 2022 • Houpu Yao, Jiazhou Wang, Peng Dai, Liefeng Bo, Yanqing Chen
As there is a growing interest in utilizing data across multiple resources to build better machine learning models, many vertically federated learning algorithms have been proposed to preserve the data privacy of the participating organizations.
3 code implementations • 8 Jul 2021 • Bo Liu, Chaowei Tan, Jiazhou Wang, Tao Zeng, Huasong Shan, Houpu Yao, Heng Huang, Peng Dai, Liefeng Bo, Yanqing Chen
We use this platform to demonstrate our research and development results on privacy preserving machine learning algorithms.